Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 338592 |
| Missing cells | 4734013 |
| Missing cells (%) | 69.9% |
| Duplicate rows | 309470 |
| Duplicate rows (%) | 91.4% |
| Total size in memory | 51.7 MiB |
| Average record size in memory | 160.0 B |
Variable types
| Categorical | 8 |
|---|---|
| Numeric | 12 |
| Dataset has 309470 (91.4%) duplicate rows | Duplicates |
PayWideKumi6 is highly correlated with PayWidePay6 and 15 other fields | High correlation |
PayWidePay6 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PayWideNinki6 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PayWideKumi7 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PayWidePay7 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PayWideNinki7 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PayUmatanKumi1 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PayUmatanPay1 is highly correlated with PayWideKumi6 and 8 other fields | High correlation |
PayUmatanNinki1 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PayUmatanPay2 is highly correlated with PayUmatanPay1 | High correlation |
PaySanrenpukuKumi1 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuPay1 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuNinki1 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuKumi2 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuPay2 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuNinki2 is highly correlated with PayWideKumi6 and 7 other fields | High correlation |
PaySanrenpukuKumi3 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PaySanrenpukuPay3 is highly correlated with PayWideKumi6 and 15 other fields | High correlation |
PaySanrenpukuPay3 is highly correlated with PayWideNinki6 and 6 other fields | High correlation |
PayWideNinki6 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWideNinki7 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWideKumi6 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PaySanrenpukuKumi3 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWidePay7 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWideKumi7 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWidePay6 is highly correlated with PaySanrenpukuPay3 and 6 other fields | High correlation |
PayWideKumi6 has 338561 (> 99.9%) missing values | Missing |
PayWidePay6 has 338561 (> 99.9%) missing values | Missing |
PayWideNinki6 has 338561 (> 99.9%) missing values | Missing |
PayWideKumi7 has 338561 (> 99.9%) missing values | Missing |
PayWidePay7 has 338561 (> 99.9%) missing values | Missing |
PayWideNinki7 has 338561 (> 99.9%) missing values | Missing |
PayUmatanKumi2 has 337507 (99.7%) missing values | Missing |
PayUmatanPay2 has 337507 (99.7%) missing values | Missing |
PayUmatanNinki2 has 337507 (99.7%) missing values | Missing |
PaySanrenpukuKumi2 has 337668 (99.7%) missing values | Missing |
PaySanrenpukuPay2 has 337668 (99.7%) missing values | Missing |
PaySanrenpukuNinki2 has 337668 (99.7%) missing values | Missing |
PaySanrenpukuKumi3 has 338561 (> 99.9%) missing values | Missing |
PaySanrenpukuPay3 has 338561 (> 99.9%) missing values | Missing |
Reproduction
| Analysis started | 2021-04-07 13:00:07.844126 |
|---|---|
| Analysis finished | 2021-04-07 13:00:55.969382 |
| Duration | 48.13 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 418.0 | |
|---|---|
| 508.0 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 155 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 508.0 |
|---|---|
| 2nd row | 508.0 |
| 3rd row | 508.0 |
| 4th row | 508.0 |
| 5th row | 508.0 |
| Value | Count | Frequency (%) |
| 418.0 | 18 | < 0.1% |
| 508.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 418.0 | 18 | |
| 508.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 44 | |
| 8 | 31 | |
| . | 31 | |
| 4 | 18 | |
| 1 | 18 | |
| 5 | 13 | 8.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 124 | |
| Other Punctuation | 31 | 20.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 44 | |
| 8 | 31 | |
| 4 | 18 | |
| 1 | 18 | |
| 5 | 13 | 10.5% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 155 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 44 | |
| 8 | 31 | |
| . | 31 | |
| 4 | 18 | |
| 1 | 18 | |
| 5 | 13 | 8.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 155 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 44 | |
| 8 | 31 | |
| . | 31 | |
| 4 | 18 | |
| 1 | 18 | |
| 5 | 13 | 8.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 580.0 | |
|---|---|
| 370.0 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 155 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 370.0 |
|---|---|
| 2nd row | 370.0 |
| 3rd row | 370.0 |
| 4th row | 370.0 |
| 5th row | 370.0 |
| Value | Count | Frequency (%) |
| 580.0 | 18 | < 0.1% |
| 370.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 580.0 | 18 | |
| 370.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 5 | 18 | 11.6% |
| 8 | 18 | 11.6% |
| 3 | 13 | 8.4% |
| 7 | 13 | 8.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 124 | |
| Other Punctuation | 31 | 20.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 5 | 18 | 14.5% |
| 8 | 18 | 14.5% |
| 3 | 13 | 10.5% |
| 7 | 13 | 10.5% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 155 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 5 | 18 | 11.6% |
| 8 | 18 | 11.6% |
| 3 | 13 | 8.4% |
| 7 | 13 | 8.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 155 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 5 | 18 | 11.6% |
| 8 | 18 | 11.6% |
| 3 | 13 | 8.4% |
| 7 | 13 | 8.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 19.0 | |
|---|---|
| 9.0 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.580645161 |
| Min length | 3 |
Characters and Unicode
| Total characters | 111 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 9.0 |
|---|---|
| 2nd row | 9.0 |
| 3rd row | 9.0 |
| 4th row | 9.0 |
| 5th row | 9.0 |
| Value | Count | Frequency (%) |
| 19.0 | 18 | < 0.1% |
| 9.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 19.0 | 18 | |
| 9.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 9 | 31 | |
| . | 31 | |
| 0 | 31 | |
| 1 | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 80 | |
| Other Punctuation | 31 | 27.9% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 9 | 31 | |
| 0 | 31 | |
| 1 | 18 |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 111 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 9 | 31 | |
| . | 31 | |
| 0 | 31 | |
| 1 | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 111 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 9 | 31 | |
| . | 31 | |
| 0 | 31 | |
| 1 | 18 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 1118.0 | |
|---|---|
| 514.0 |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.580645161 |
| Min length | 5 |
Characters and Unicode
| Total characters | 173 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 514.0 |
|---|---|
| 2nd row | 514.0 |
| 3rd row | 514.0 |
| 4th row | 514.0 |
| 5th row | 514.0 |
| Value | Count | Frequency (%) |
| 1118.0 | 18 | < 0.1% |
| 514.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1118.0 | 18 | |
| 514.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 67 | |
| . | 31 | |
| 0 | 31 | |
| 8 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 4 | 13 | 7.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 142 | |
| Other Punctuation | 31 | 17.9% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 67 | |
| 0 | 31 | |
| 8 | 18 | 12.7% |
| 5 | 13 | 9.2% |
| 4 | 13 | 9.2% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 173 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 67 | |
| . | 31 | |
| 0 | 31 | |
| 8 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 4 | 13 | 7.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 173 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 67 | |
| . | 31 | |
| 0 | 31 | |
| 8 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 4 | 13 | 7.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 370.0 | |
|---|---|
| 150.0 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 155 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 150.0 |
|---|---|
| 2nd row | 150.0 |
| 3rd row | 150.0 |
| 4th row | 150.0 |
| 5th row | 150.0 |
| Value | Count | Frequency (%) |
| 370.0 | 18 | < 0.1% |
| 150.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 370.0 | 18 | |
| 150.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 3 | 18 | 11.6% |
| 7 | 18 | 11.6% |
| 1 | 13 | 8.4% |
| 5 | 13 | 8.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 124 | |
| Other Punctuation | 31 | 20.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 3 | 18 | 14.5% |
| 7 | 18 | 14.5% |
| 1 | 13 | 10.5% |
| 5 | 13 | 10.5% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 155 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 3 | 18 | 11.6% |
| 7 | 18 | 11.6% |
| 1 | 13 | 8.4% |
| 5 | 13 | 8.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 155 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 62 | |
| . | 31 | |
| 3 | 18 | 11.6% |
| 7 | 18 | 11.6% |
| 1 | 13 | 8.4% |
| 5 | 13 | 8.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 9.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 93 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
| Value | Count | Frequency (%) |
| 9.0 | 18 | < 0.1% |
| 1.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 9.0 | 18 | |
| 1.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 31 | |
| 0 | 31 | |
| 9 | 18 | |
| 1 | 13 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 62 | |
| Other Punctuation | 31 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 31 | |
| 9 | 18 | |
| 1 | 13 |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 93 |
Most frequent character per script
| Value | Count | Frequency (%) |
| . | 31 | |
| 0 | 31 | |
| 9 | 18 | |
| 1 | 13 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 93 |
Most frequent character per block
| Value | Count | Frequency (%) |
| . | 31 | |
| 0 | 31 | |
| 9 | 18 | |
| 1 | 13 |
| Distinct | 306 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 800.3921475 |
|---|---|
| Minimum | 102 |
| Maximum | 1817 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 102 |
|---|---|
| 5-th percentile | 111 |
| Q1 | 409 |
| median | 804 |
| Q3 | 1201 |
| 95-th percentile | 1516 |
| Maximum | 1817 |
| Range | 1715 |
| Interquartile range (IQR) | 792 |
Descriptive statistics
| Standard deviation | 448.9344477 |
|---|---|
| Coefficient of variation (CV) | 0.5608931186 |
| Kurtosis | -1.025963131 |
| Mean | 800.3921475 |
| Median Absolute Deviation (MAD) | 396 |
| Skewness | 0.1841746278 |
| Sum | 271006378 |
| Variance | 201542.1383 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 203 | 2244 | 0.7% |
| 204 | 2197 | 0.6% |
| 108 | 2163 | 0.6% |
| 406 | 2155 | 0.6% |
| 302 | 2137 | 0.6% |
| 405 | 2124 | 0.6% |
| 809 | 2114 | 0.6% |
| 705 | 2113 | 0.6% |
| 403 | 2103 | 0.6% |
| 504 | 2096 | 0.6% |
| Other values (296) | 317146 |
| Value | Count | Frequency (%) |
| 102 | 2093 | |
| 103 | 1967 | |
| 104 | 2068 | |
| 105 | 1995 | |
| 106 | 1640 |
| Value | Count | Frequency (%) |
| 1817 | 162 | |
| 1816 | 128 | |
| 1815 | 205 | |
| 1814 | 109 | |
| 1813 | 161 |
| Distinct | 4722 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12461.74216 |
|---|---|
| Minimum | 170 |
| Maximum | 1087490 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 170 |
|---|---|
| 5-th percentile | 680 |
| Q1 | 1720 |
| median | 3830 |
| Q3 | 10130 |
| 95-th percentile | 48420 |
| Maximum | 1087490 |
| Range | 1087320 |
| Interquartile range (IQR) | 8410 |
Descriptive statistics
| Standard deviation | 33837.93143 |
|---|---|
| Coefficient of variation (CV) | 2.715345175 |
| Kurtosis | 198.2246047 |
| Mean | 12461.74216 |
| Median Absolute Deviation (MAD) | 2660 |
| Skewness | 10.86805933 |
| Sum | 4219446200 |
| Variance | 1145005604 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 780 | 879 | 0.3% |
| 980 | 866 | 0.3% |
| 1230 | 860 | 0.3% |
| 900 | 843 | 0.2% |
| 1340 | 822 | 0.2% |
| 1730 | 805 | 0.2% |
| 1410 | 801 | 0.2% |
| 1050 | 800 | 0.2% |
| 1170 | 797 | 0.2% |
| 1160 | 796 | 0.2% |
| Other values (4712) | 330323 |
| Value | Count | Frequency (%) |
| 170 | 8 | < 0.1% |
| 180 | 6 | < 0.1% |
| 190 | 35 | |
| 200 | 45 | |
| 210 | 18 | < 0.1% |
| Value | Count | Frequency (%) |
| 1087490 | 12 | |
| 1025570 | 17 | |
| 962580 | 10 | |
| 906220 | 6 | < 0.1% |
| 884910 | 10 |
| Distinct | 239 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.56213673 |
|---|---|
| Minimum | 1 |
| Maximum | 303 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 13 |
| Q3 | 35 |
| 95-th percentile | 99 |
| Maximum | 303 |
| Range | 302 |
| Interquartile range (IQR) | 31 |
Descriptive statistics
| Standard deviation | 34.28358064 |
|---|---|
| Coefficient of variation (CV) | 1.290693628 |
| Kurtosis | 6.955538318 |
| Mean | 26.56213673 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | 2.380713397 |
| Sum | 8993727 |
| Variance | 1175.363901 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 29404 | 8.7% |
| 2 | 24067 | 7.1% |
| 3 | 18109 | 5.3% |
| 4 | 15519 | 4.6% |
| 5 | 13378 | 4.0% |
| 6 | 11629 | 3.4% |
| 7 | 10973 | 3.2% |
| 8 | 9554 | 2.8% |
| 9 | 9399 | 2.8% |
| 10 | 8166 | 2.4% |
| Other values (229) | 188394 |
| Value | Count | Frequency (%) |
| 1 | 29404 | |
| 2 | 24067 | |
| 3 | 18109 | |
| 4 | 15519 | |
| 5 | 13378 |
| Value | Count | Frequency (%) |
| 303 | 17 | |
| 278 | 17 | |
| 271 | 16 | |
| 263 | 10 | |
| 257 | 13 |
| Distinct | 72 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 337507 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 842.5152074 |
|---|---|
| Minimum | 104 |
| Maximum | 1817 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 104 |
|---|---|
| 5-th percentile | 211 |
| Q1 | 511 |
| median | 807 |
| Q3 | 1108 |
| 95-th percentile | 1513 |
| Maximum | 1817 |
| Range | 1713 |
| Interquartile range (IQR) | 597 |
Descriptive statistics
| Standard deviation | 401.3186234 |
|---|---|
| Coefficient of variation (CV) | 0.4763339817 |
| Kurtosis | -0.5729754805 |
| Mean | 842.5152074 |
| Median Absolute Deviation (MAD) | 301 |
| Skewness | 0.2515246426 |
| Sum | 914129 |
| Variance | 161056.6375 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1108 | 49 | < 0.1% |
| 1210 | 29 | < 0.1% |
| 811 | 28 | < 0.1% |
| 302 | 27 | < 0.1% |
| 710 | 27 | < 0.1% |
| 411 | 26 | < 0.1% |
| 1106 | 26 | < 0.1% |
| 314 | 25 | < 0.1% |
| 1107 | 25 | < 0.1% |
| 804 | 24 | < 0.1% |
| Other values (62) | 799 | 0.2% |
| (Missing) | 337507 |
| Value | Count | Frequency (%) |
| 104 | 8 | |
| 113 | 14 | |
| 206 | 8 | |
| 208 | 12 | |
| 211 | 17 |
| Value | Count | Frequency (%) |
| 1817 | 17 | |
| 1713 | 16 | |
| 1613 | 13 | |
| 1513 | 12 | |
| 1502 | 15 |
| Distinct | 84 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 337507 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7203.990783 |
|---|---|
| Minimum | 250 |
| Maximum | 179670 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 250 |
|---|---|
| 5-th percentile | 490 |
| Q1 | 990 |
| median | 2150 |
| Q3 | 6180 |
| 95-th percentile | 20270 |
| Maximum | 179670 |
| Range | 179420 |
| Interquartile range (IQR) | 5190 |
Descriptive statistics
| Standard deviation | 21530.96507 |
|---|---|
| Coefficient of variation (CV) | 2.988755222 |
| Kurtosis | 54.36089448 |
| Mean | 7203.990783 |
| Median Absolute Deviation (MAD) | 1390 |
| Skewness | 7.179901283 |
| Sum | 7816330 |
| Variance | 463582456.8 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2360 | 29 | < 0.1% |
| 670 | 29 | < 0.1% |
| 6720 | 24 | < 0.1% |
| 710 | 21 | < 0.1% |
| 890 | 20 | < 0.1% |
| 990 | 19 | < 0.1% |
| 1860 | 17 | < 0.1% |
| 2020 | 17 | < 0.1% |
| 860 | 16 | < 0.1% |
| 1690 | 16 | < 0.1% |
| Other values (74) | 877 | 0.3% |
| (Missing) | 337507 |
| Value | Count | Frequency (%) |
| 250 | 6 | |
| 260 | 5 | < 0.1% |
| 280 | 8 | |
| 390 | 14 | |
| 410 | 14 |
| Value | Count | Frequency (%) |
| 179670 | 15 | |
| 35540 | 15 | |
| 34870 | 14 | |
| 21390 | 8 | |
| 20270 | 16 |
| Distinct | 44 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 337507 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.59723502 |
|---|---|
| Minimum | 1 |
| Maximum | 164 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 14 |
| Q3 | 36 |
| 95-th percentile | 106 |
| Maximum | 164 |
| Range | 163 |
| Interquartile range (IQR) | 30 |
Descriptive statistics
| Standard deviation | 35.60900048 |
|---|---|
| Coefficient of variation (CV) | 1.245190329 |
| Kurtosis | 4.981792879 |
| Mean | 28.59723502 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | 2.217990437 |
| Sum | 31028 |
| Variance | 1268.000915 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 10 | 89 | < 0.1% |
| 4 | 74 | < 0.1% |
| 1 | 62 | < 0.1% |
| 7 | 62 | < 0.1% |
| 21 | 58 | < 0.1% |
| 14 | 50 | < 0.1% |
| 2 | 45 | < 0.1% |
| 3 | 40 | < 0.1% |
| 9 | 40 | < 0.1% |
| 30 | 37 | < 0.1% |
| Other values (34) | 528 | 0.2% |
| (Missing) | 337507 |
| Value | Count | Frequency (%) |
| 1 | 62 | |
| 2 | 45 | |
| 3 | 40 | |
| 4 | 74 | |
| 5 | 31 |
| Value | Count | Frequency (%) |
| 164 | 15 | |
| 160 | 15 | |
| 147 | 16 | |
| 106 | 10 | |
| 98 | 15 |
| Distinct | 804 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41120.02132 |
|---|---|
| Minimum | 10203 |
| Maximum | 161718 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 10203 |
|---|---|
| 5-th percentile | 10308 |
| Q1 | 20407 |
| median | 31013 |
| Q3 | 60712 |
| 95-th percentile | 101116 |
| Maximum | 161718 |
| Range | 151515 |
| Interquartile range (IQR) | 40305 |
Descriptive statistics
| Standard deviation | 28579.28255 |
|---|---|
| Coefficient of variation (CV) | 0.6950211025 |
| Kurtosis | 0.4827592712 |
| Mean | 41120.02132 |
| Median Absolute Deviation (MAD) | 19801 |
| Skewness | 1.016183361 |
| Sum | 1.392291026 × 1010 |
| Variance | 816775391.1 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10204 | 1447 | 0.4% |
| 40506 | 1431 | 0.4% |
| 10203 | 1407 | 0.4% |
| 20405 | 1398 | 0.4% |
| 10305 | 1390 | 0.4% |
| 20306 | 1317 | 0.4% |
| 10304 | 1299 | 0.4% |
| 30405 | 1232 | 0.4% |
| 20406 | 1226 | 0.4% |
| 20304 | 1226 | 0.4% |
| Other values (794) | 325219 |
| Value | Count | Frequency (%) |
| 10203 | 1407 | |
| 10204 | 1447 | |
| 10205 | 1193 | |
| 10206 | 1192 | |
| 10207 | 1048 |
| Value | Count | Frequency (%) |
| 161718 | 34 | < 0.1% |
| 151718 | 58 | |
| 151618 | 124 | |
| 151617 | 40 | < 0.1% |
| 141718 | 101 |
| Distinct | 6440 |
|---|---|
| Distinct (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25452.03599 |
|---|---|
| Minimum | 130 |
| Maximum | 5508830 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 130 |
|---|---|
| 5-th percentile | 780 |
| Q1 | 2270 |
| median | 5860 |
| Q3 | 17700 |
| 95-th percentile | 104190 |
| Maximum | 5508830 |
| Range | 5508700 |
| Interquartile range (IQR) | 15430 |
Descriptive statistics
| Standard deviation | 88463.62696 |
|---|---|
| Coefficient of variation (CV) | 3.475699429 |
| Kurtosis | 742.8936376 |
| Mean | 25452.03599 |
| Median Absolute Deviation (MAD) | 4470 |
| Skewness | 18.97387075 |
| Sum | 8617855770 |
| Variance | 7825813294 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1310 | 633 | 0.2% |
| 1100 | 626 | 0.2% |
| 1510 | 614 | 0.2% |
| 1330 | 604 | 0.2% |
| 1600 | 598 | 0.2% |
| 1240 | 595 | 0.2% |
| 1210 | 595 | 0.2% |
| 920 | 593 | 0.2% |
| 1160 | 587 | 0.2% |
| 790 | 587 | 0.2% |
| Other values (6430) | 332560 |
| Value | Count | Frequency (%) |
| 130 | 5 | < 0.1% |
| 140 | 10 | < 0.1% |
| 150 | 15 | |
| 160 | 10 | < 0.1% |
| 170 | 29 |
| Value | Count | Frequency (%) |
| 5508830 | 12 | |
| 3345390 | 11 | |
| 2709720 | 17 | |
| 2704790 | 10 | |
| 2232180 | 10 |
| Distinct | 488 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 45.66631521 |
|---|---|
| Minimum | 1 |
| Maximum | 814 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 18 |
| Q3 | 54 |
| 95-th percentile | 191 |
| Maximum | 814 |
| Range | 813 |
| Interquartile range (IQR) | 49 |
Descriptive statistics
| Standard deviation | 71.19593258 |
|---|---|
| Coefficient of variation (CV) | 1.559047018 |
| Kurtosis | 13.56832045 |
| Mean | 45.66631521 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | 3.17141922 |
| Sum | 15462249 |
| Variance | 5068.860815 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 27655 | 8.2% |
| 2 | 20055 | 5.9% |
| 3 | 15825 | 4.7% |
| 4 | 13045 | 3.9% |
| 5 | 11829 | 3.5% |
| 6 | 9613 | 2.8% |
| 7 | 9263 | 2.7% |
| 9 | 7989 | 2.4% |
| 8 | 7722 | 2.3% |
| 10 | 6698 | 2.0% |
| Other values (478) | 208898 |
| Value | Count | Frequency (%) |
| 1 | 27655 | |
| 2 | 20055 | |
| 3 | 15825 | |
| 4 | 13045 | |
| 5 | 11829 |
| Value | Count | Frequency (%) |
| 814 | 17 | |
| 749 | 10 | |
| 727 | 16 | |
| 664 | 14 | |
| 656 | 14 |
| Distinct | 75 |
|---|---|
| Distinct (%) | 8.1% |
| Missing | 337668 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49044.23485 |
|---|---|
| Minimum | 10305 |
| Maximum | 131415 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 10305 |
|---|---|
| 5-th percentile | 10608 |
| Q1 | 20812 |
| median | 41215 |
| Q3 | 71012 |
| 95-th percentile | 101516 |
| Maximum | 131415 |
| Range | 121110 |
| Interquartile range (IQR) | 50200 |
Descriptive statistics
| Standard deviation | 31652.34337 |
|---|---|
| Coefficient of variation (CV) | 0.64538357 |
| Kurtosis | -0.3964455582 |
| Mean | 49044.23485 |
| Median Absolute Deviation (MAD) | 20802 |
| Skewness | 0.6585701435 |
| Sum | 45316873 |
| Variance | 1001870841 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 40818 | 30 | < 0.1% |
| 20810 | 20 | < 0.1% |
| 131415 | 18 | < 0.1% |
| 101418 | 18 | < 0.1% |
| 70816 | 17 | < 0.1% |
| 41418 | 17 | < 0.1% |
| 10616 | 16 | < 0.1% |
| 51416 | 16 | < 0.1% |
| 101315 | 16 | < 0.1% |
| 11114 | 16 | < 0.1% |
| Other values (65) | 740 | 0.2% |
| (Missing) | 337668 |
| Value | Count | Frequency (%) |
| 10305 | 6 | < 0.1% |
| 10307 | 10 | |
| 10507 | 15 | |
| 10607 | 13 | |
| 10608 | 11 |
| Value | Count | Frequency (%) |
| 131415 | 18 | |
| 121415 | 13 | |
| 111216 | 12 | |
| 101516 | 11 | |
| 101418 | 18 |
| Distinct | 76 |
|---|---|
| Distinct (%) | 8.2% |
| Missing | 337668 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18196.01732 |
|---|---|
| Minimum | 180 |
| Maximum | 316360 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 180 |
|---|---|
| 5-th percentile | 520 |
| Q1 | 2020 |
| median | 5490 |
| Q3 | 16360 |
| 95-th percentile | 70890 |
| Maximum | 316360 |
| Range | 316180 |
| Interquartile range (IQR) | 14340 |
Descriptive statistics
| Standard deviation | 37351.78351 |
|---|---|
| Coefficient of variation (CV) | 2.052744997 |
| Kurtosis | 34.20730123 |
| Mean | 18196.01732 |
| Median Absolute Deviation (MAD) | 4430 |
| Skewness | 5.110845654 |
| Sum | 16813120 |
| Variance | 1395155732 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2010 | 21 | < 0.1% |
| 13660 | 18 | < 0.1% |
| 28740 | 18 | < 0.1% |
| 2020 | 18 | < 0.1% |
| 3240 | 17 | < 0.1% |
| 1030 | 17 | < 0.1% |
| 20930 | 16 | < 0.1% |
| 122000 | 16 | < 0.1% |
| 320 | 16 | < 0.1% |
| 10240 | 16 | < 0.1% |
| Other values (66) | 751 | 0.2% |
| (Missing) | 337668 |
| Value | Count | Frequency (%) |
| 180 | 4 | < 0.1% |
| 260 | 7 | |
| 320 | 16 | |
| 410 | 11 | |
| 480 | 7 |
| Value | Count | Frequency (%) |
| 316360 | 8 | |
| 122000 | 16 | |
| 109560 | 15 | |
| 70890 | 12 | |
| 63600 | 15 |
| Distinct | 53 |
|---|---|
| Distinct (%) | 5.7% |
| Missing | 337668 |
| Missing (%) | 99.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 71.3030303 |
|---|---|
| Minimum | 1 |
| Maximum | 496 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 13 |
| median | 30 |
| Q3 | 100 |
| 95-th percentile | 224 |
| Maximum | 496 |
| Range | 495 |
| Interquartile range (IQR) | 87 |
Descriptive statistics
| Standard deviation | 89.46776023 |
|---|---|
| Coefficient of variation (CV) | 1.254753968 |
| Kurtosis | 7.357958273 |
| Mean | 71.3030303 |
| Median Absolute Deviation (MAD) | 26 |
| Skewness | 2.380019253 |
| Sum | 65884 |
| Variance | 8004.480121 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 13 | 45 | < 0.1% |
| 1 | 38 | < 0.1% |
| 21 | 38 | < 0.1% |
| 4 | 35 | < 0.1% |
| 68 | 30 | < 0.1% |
| 85 | 30 | < 0.1% |
| 5 | 29 | < 0.1% |
| 2 | 27 | < 0.1% |
| 19 | 27 | < 0.1% |
| 11 | 27 | < 0.1% |
| Other values (43) | 598 | 0.2% |
| (Missing) | 337668 |
| Value | Count | Frequency (%) |
| 1 | 38 | |
| 2 | 27 | |
| 3 | 7 | < 0.1% |
| 4 | 35 | |
| 5 | 29 |
| Value | Count | Frequency (%) |
| 496 | 16 | |
| 335 | 8 | |
| 266 | 15 | |
| 224 | 15 | |
| 196 | 12 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 81118.0 | |
|---|---|
| 50614.0 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 217 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 50614.0 |
|---|---|
| 2nd row | 50614.0 |
| 3rd row | 50614.0 |
| 4th row | 50614.0 |
| 5th row | 50614.0 |
| Value | Count | Frequency (%) |
| 81118.0 | 18 | < 0.1% |
| 50614.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 81118.0 | 18 | |
| 50614.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 67 | |
| 0 | 44 | |
| 8 | 36 | |
| . | 31 | |
| 5 | 13 | 6.0% |
| 6 | 13 | 6.0% |
| 4 | 13 | 6.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 186 | |
| Other Punctuation | 31 | 14.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 67 | |
| 0 | 44 | |
| 8 | 36 | |
| 5 | 13 | 7.0% |
| 6 | 13 | 7.0% |
| 4 | 13 | 7.0% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 217 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 67 | |
| 0 | 44 | |
| 8 | 36 | |
| . | 31 | |
| 5 | 13 | 6.0% |
| 6 | 13 | 6.0% |
| 4 | 13 | 6.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 217 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 67 | |
| 0 | 44 | |
| 8 | 36 | |
| . | 31 | |
| 5 | 13 | 6.0% |
| 6 | 13 | 6.0% |
| 4 | 13 | 6.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 338561 |
| Missing (%) | > 99.9% |
| Memory size | 2.6 MiB |
| 1140.0 | |
|---|---|
| 590.0 |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.580645161 |
| Min length | 5 |
Characters and Unicode
| Total characters | 173 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 590.0 |
|---|---|
| 2nd row | 590.0 |
| 3rd row | 590.0 |
| 4th row | 590.0 |
| 5th row | 590.0 |
| Value | Count | Frequency (%) |
| 1140.0 | 18 | < 0.1% |
| 590.0 | 13 | < 0.1% |
| (Missing) | 338561 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1140.0 | 18 | |
| 590.0 | 13 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 1 | 36 | |
| . | 31 | |
| 4 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 9 | 13 | 7.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 142 | |
| Other Punctuation | 31 | 17.9% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 1 | 36 | |
| 4 | 18 | 12.7% |
| 5 | 13 | 9.2% |
| 9 | 13 | 9.2% |
| Value | Count | Frequency (%) |
| . | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 173 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 1 | 36 | |
| . | 31 | |
| 4 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 9 | 13 | 7.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 173 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 62 | |
| 1 | 36 | |
| . | 31 | |
| 4 | 18 | 10.4% |
| 5 | 13 | 7.5% |
| 9 | 13 | 7.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| PayWideKumi6 | PayWidePay6 | PayWideNinki6 | PayWideKumi7 | PayWidePay7 | PayWideNinki7 | PayUmatanKumi1 | PayUmatanPay1 | PayUmatanNinki1 | PayUmatanKumi2 | PayUmatanPay2 | PayUmatanNinki2 | PaySanrenpukuKumi1 | PaySanrenpukuPay1 | PaySanrenpukuNinki1 | PaySanrenpukuKumi2 | PaySanrenpukuPay2 | PaySanrenpukuNinki2 | PaySanrenpukuKumi3 | PaySanrenpukuPay3 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | nan | nan | nan | nan | nan | nan | 1615 | 3280 | 9 | nan | nan | nan | 51516 | 2320 | 2 | nan | nan | nan | nan | nan |
| 1 | nan | nan | nan | nan | nan | nan | 809 | 1310 | 2 | nan | nan | nan | 10809 | 990 | 2 | nan | nan | nan | nan | nan |
| 2 | nan | nan | nan | nan | nan | nan | 408 | 700 | 1 | nan | nan | nan | 40508 | 1020 | 2 | nan | nan | nan | nan | nan |
| 3 | nan | nan | nan | nan | nan | nan | 1516 | 40500 | 125 | nan | nan | nan | 61516 | 96460 | 271 | nan | nan | nan | nan | nan |
| 4 | nan | nan | nan | nan | nan | nan | 1615 | 3280 | 9 | nan | nan | nan | 51516 | 2320 | 2 | nan | nan | nan | nan | nan |
| 5 | nan | nan | nan | nan | nan | nan | 912 | 11280 | 37 | nan | nan | nan | 91216 | 6500 | 17 | nan | nan | nan | nan | nan |
| 6 | nan | nan | nan | nan | nan | nan | 108 | 16290 | 54 | nan | nan | nan | 10812 | 64580 | 134 | nan | nan | nan | nan | nan |
| 7 | nan | nan | nan | nan | nan | nan | 1606 | 610 | 1 | nan | nan | nan | 60716 | 11020 | 33 | nan | nan | nan | nan | nan |
| 8 | nan | nan | nan | nan | nan | nan | 1416 | 64500 | 116 | nan | nan | nan | 121416 | 440070 | 382 | nan | nan | nan | nan | nan |
| 9 | nan | nan | nan | nan | nan | nan | 1408 | 900 | 1 | nan | nan | nan | 81114 | 2210 | 2 | nan | nan | nan | nan | nan |
Last rows
| PayWideKumi6 | PayWidePay6 | PayWideNinki6 | PayWideKumi7 | PayWidePay7 | PayWideNinki7 | PayUmatanKumi1 | PayUmatanPay1 | PayUmatanNinki1 | PayUmatanKumi2 | PayUmatanPay2 | PayUmatanNinki2 | PaySanrenpukuKumi1 | PaySanrenpukuPay1 | PaySanrenpukuNinki1 | PaySanrenpukuKumi2 | PaySanrenpukuPay2 | PaySanrenpukuNinki2 | PaySanrenpukuKumi3 | PaySanrenpukuPay3 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 338582 | nan | nan | nan | nan | nan | nan | 205 | 350 | 1 | nan | nan | nan | 20508 | 2780 | 6 | nan | nan | nan | nan | nan |
| 338583 | nan | nan | nan | nan | nan | nan | 205 | 350 | 1 | nan | nan | nan | 20508 | 2780 | 6 | nan | nan | nan | nan | nan |
| 338584 | nan | nan | nan | nan | nan | nan | 213 | 14000 | 45 | nan | nan | nan | 10213 | 9020 | 32 | nan | nan | nan | nan | nan |
| 338585 | nan | nan | nan | nan | nan | nan | 815 | 62650 | 125 | nan | nan | nan | 60815 | 44910 | 122 | nan | nan | nan | nan | nan |
| 338586 | nan | nan | nan | nan | nan | nan | 402 | 2310 | 5 | nan | nan | nan | 20412 | 3320 | 6 | nan | nan | nan | nan | nan |
| 338587 | nan | nan | nan | nan | nan | nan | 1008 | 1770 | 7 | nan | nan | nan | 10810 | 11850 | 37 | nan | nan | nan | nan | nan |
| 338588 | nan | nan | nan | nan | nan | nan | 1006 | 3550 | 14 | nan | nan | nan | 20610 | 1710 | 3 | nan | nan | nan | nan | nan |
| 338589 | nan | nan | nan | nan | nan | nan | 714 | 1200 | 1 | nan | nan | nan | 60714 | 1610 | 3 | nan | nan | nan | nan | nan |
| 338590 | nan | nan | nan | nan | nan | nan | 509 | 11860 | 34 | nan | nan | nan | 40509 | 64350 | 135 | nan | nan | nan | nan | nan |
| 338591 | nan | nan | nan | nan | nan | nan | 1009 | 1890 | 4 | nan | nan | nan | 91014 | 56740 | 129 | nan | nan | nan | nan | nan |